Data Engineer

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

The Senior Associate Data Engineer is a developing specialist role, tasked with supporting the transformation of data into a structured format that can be easily analyzed in a query or report.

This role is responsible for developing structured data sets that can be reused or compliment other data sets and reports.

This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities.

• Key responsibilities:

• Contributes to the creation of data models in a structured data format to enable analysis thereof.
• Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources.
• Participates in the transformation of object and data models into appropriate database schemas within design constraints.
• Interprets installation standards to meet project needs and produce database components as required.
• Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.
• Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems.
• Support the definition and implementation of data table structures and data models based on requirements.
• Contributes to analysis, and development of ETL and migration documentation.
• Receives instructions from various stakeholders to evaluate potential data requirements.
• Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.
• Contributes to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.

• To thrive in this role, you need to have:

• Knowledge of the definition and management of scoping requirements, definition and prioritization activities.
• Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
• Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.
• Understanding of data architecture landscape between physical and logical data models.
• Analytical mindset with good business acumen skills.
• Problem-solving aptitude with the ability to communicate effectively, both written and verbal.
• Ability to build effective relationships at all levels within the organization.
• Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).

• Academic qualifications and certifications:

• Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.
• Relevant certifications preferred such as SAP, Microsoft Azure etc.
• Certified Data Engineer, Certified Professional certification preferred.

• Required experience:

• Moderate level experience in data engineering, data mining within a fast-paced environment.
• Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
• Moderate level experience with architecture and design of secure, highly available and scalable systems.
• Familiarity with automation, scripting and proven examples of successful implementation.
• Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.).
• Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc.
• Moderate level experience in any applicable language, preferably .NET.
• Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL.
• Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.

• Workplace type:

On-site Working

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.

Equal Opportunity Employer

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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• Moderate level experience in data engineering, data mining within a fast-paced environment.
• Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
• Moderate level experience with architecture and design of secure, highly available and scalable systems.
• Familiarity with automation, scripting and proven examples of successful implementation.
• Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.).
• Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc.
• Moderate level experience in any applicable language, preferably .NET.
• Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL.
• Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.